We present means and standard deviations of variables used in the analysis in table 1. Our sample consists of 523 production lines across thirty factories. The range of dates over which we have production data spans 1,001 days. However, we do not observe all factories for all dates.16 Altogether, our data include nearly 240,000 line by day observations. About one-third of the observations correspond to days in factories prior to the introduction of LED lighting, and the remainder are post-LED observations.
Number of line-day observations | 239,680 | |
Number of lines | 523 | |
Number of days | 1,001 | |
Number of factories | 30 | |
Mean | Standard Deviation | |
Weather | ||
Temperature (Celsius) | 24.353 | 2.966 |
Relative humidity (%) | 0.647 | 0.174 |
Wet bulb globe temperature (Celsius) | 17.230 | 1.683 |
Production | ||
Actual efficiency | 55.234 | 26.233 |
Budgeted efficiency | 61.981 | 11.545 |
Standard allowable minutes (SAM) | 0.724 | 2.445 |
Attendance | ||
1(Present for Full Work day) | 0.843 | 0.363 |
Number of line-day observations | 239,680 | |
Number of lines | 523 | |
Number of days | 1,001 | |
Number of factories | 30 | |
Mean | Standard Deviation | |
Weather | ||
Temperature (Celsius) | 24.353 | 2.966 |
Relative humidity (%) | 0.647 | 0.174 |
Wet bulb globe temperature (Celsius) | 17.230 | 1.683 |
Production | ||
Actual efficiency | 55.234 | 26.233 |
Budgeted efficiency | 61.981 | 11.545 |
Standard allowable minutes (SAM) | 0.724 | 2.445 |
Attendance | ||
1(Present for Full Work day) | 0.843 | 0.363 |